This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.
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- 5 stars67.78%
- 4 stars20.55%
- 3 stars8.01%
- 2 stars1.89%
- 1 star1.74%
It is rare to find an online course that explains the statistics and intuition behind text mining and machine learning algorithm!
Practical stuff were lacking in python rest the content was excellent. love the way the instructor taught the content
Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!
Good course, but if combined with weekly assignments in python and R it would be even better than any other course.
關於 数据挖掘 專項課程
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.